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• W2161526143 abstract "This paper presents an up to date advances in time-domain system identification using fractional models. Both equation-error- and output-error-based models are detailed. In the former models, prior knowledge is generally used to fix differentiation orders; model coefficients are estimated using least squares. The latter models allow simultaneous estimation of model coefficients and differentiation orders using nonlinear programing. As an example, a thermal system is identified using a fractional model and is compared to a rational one." @default.
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• W2161526143 date "2008-01-24" @default.
• W2161526143 modified "2023-10-10" @default.
• W2161526143 title "Advances in System Identification Using Fractional Models" @default.
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• W2161526143 doi "https://doi.org/10.1115/1.2833910" @default.
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